Nichesourcing for the benefit of linguistic research and native speakers

The National Library of Finland is implementing the Digitization Project of Kindred Languages in 2012–16. Within the project we will digitize materials in the Uralic languages as well as develop tools to support linguistic research and citizen science. Through this project, researchers will gain access to new corpora 329 and to which all users will have open access regardless of their place of residence. Our objective is to make sure that the new corpora are made available for the open and interactive use of both the academic community and the language societies as a whole. The project seeks to digitize and publish approximately 1200 monograph titles and more than 100 newspapers titles in various Uralic languages. The digitization will be completed by the early of 2015, when the Fenno-Ugrica collection would contain around 200 000 pages of editable text. The researchers cannot spend so much time with the material that they could retrieve a satisfactory amount of edited words, so the participation of a crowd in editing work is needed. Often the targets in crowdsourcing have been split into several microtasks that do not require any special skills from the anonymous people, a faceless crowd. This way of crowdsourcing may produce quantitative results, but from the research’s point of view, there is a danger that the needs of linguistic research are not necessarily met. Also, the number of pages is too high to deal with. The remarkable downside is the lack of shared goal or social affinity. There is no reward in traditional methods of crowdsourcing. Nichesourcing is a specific type of crowdsourcing where tasks are distributed amongst a small crowd of citizen scientists (communities). Although communities provide smaller pools to draw resources, their specific richness in skill is suited for the complex tasks with high-quality product expectations found in nichesourcing. Communities have purpose, identity and their regular interactions engenders social trust and reputation. These communities can correspond to research more precisely. Instead of repetitive and rather trivial tasks, we are trying to utilize the knowledge and skills of citizen scientists to provide qualitative results. Some selection must be made, since we are not aiming to correct all 200,000 pages which we have digitized, but give such assignments to citizen scientists that would precisely fill the gaps in linguistic research. A typical task would editing and collecting the words in such fields of vocabularies, where the researchers do require more information. For instance, there’s a lack of Hill Mari words in anatomy. We have digitized the books in medicine and we could try to track the words related to human organs by assigning the citizen scientists to edit and collect words with OCR editor. From the nichesourcing’s perspective, it is essential that the altruism plays a central role, when the language communities involve. Upon the nichesourcing, our goal is to reach a certain level of interplay, where the language communities would benefit on the results. For instance, the corrected words in Ingrian will be added onto the online dictionary, which is made freely available for the public and the society can benefit too. This objective of interplay can be understood as an aspiration to support the endangered languages and the maintenance of lingual diversity, but also as a servant of “two masters”, the research and the society.

Impact of Word-of-Mouth on consumer decision-making: An information processing perspective in the context of a high-involvement service

This doctoral study conducts an empirical analysis of the impact of Word-of-Mouth (WOM) on marketing-relevant outcomes such as attitudes and consumer choice, during a high-involvement and complex service decision. Due to its importance to decisionmaking, WOM has attracted interest from academia and practitioners for decades. Consumers are known to discuss products and services with one another. These discussions help consumers to form an evaluative opinion, as WOM reduces perceived risk, simplifies complexity, and increases the confidence of consumers in decisionmaking. These discussions are also highly impactful as WOM is a trustworthy source of information, since it is independent from the company or brand. In responding to the calls for more research on what happens after WOM information is received, and how it affects marketing-relevant outcomes, this dissertation extends prior WOM literature by investigating how consumers process information in a highinvolvement service domain, in particular higher-education. Further, the dissertation studies how the form of WOM influences consumer choice. The research contributes to WOM and services marketing literature by developing and empirically testing a framework for information processing and studying the long-term effects of WOM. The results of the dissertation are presented in five research publications. The publications are based on longitudinal data. The research leads to the development of a proposed theoretical framework for the processing of WOM, based on theories from social psychology. The framework is specifically focused on service decisions, as it takes into account evaluation difficulty through the complex nature of choice criteria associated with service purchase decisions. Further, other gaps in current WOM literature are taken into account by, for example, examining how the source of WOM and service values affects the processing mechanism. The research also provides implications for managers aiming to trigger favorable WOM through marketing efforts, such as advertising and testimonials. The results provide suggestions on how to design these marketing efforts by taking into account the mechanism through which information is processed, or the form of social influence.

Asiakasarvopohjaisten palveluiden kehittäminen kiinteistöpalvelualan yrityksessä

Tämän työn tavoitteena oli tutkia asiakasarvopohjaisten palveluiden kehittämistä ja luoda kiinteistöpalvelualan yritykselle kehitysprosessimalli, jonka avulla yritys voisi optimoida toimintojaan tulevaisuudessa. Tutkimuksen päätavoitteina oli tutkia asiakasarvoa kiinteistöpalveluissa, kartoittaa potentiaalisten uusien asiakkaiden palveluiden nykytila ja toiveet sekä tarkastella kohdeyrityksen palveluiden kehitysprosessia. Työn teoreettisessa osiossa tarkasteltiin palveluliiketoimintaa yleisellä tasolla, yrityksen palveluprosessin kehittämistä, asiakasarvon muodostumista sekä SERVQUAL- ja QFD-työkalujen avulla palvelun laatua ja asiakastarpeita. Työn teoriaosuuden kautta saatiin myös selville, että asiakasarvon hallinta on palveluiden kehitysprosessin ydin. Tutkimuksen empiirinen aineisto kerättiin syvähaastatteluiden avulla avainasiakkailta eri asiakassegmentteihin liittyen. Haastattelujen analysoinnissa hyödynnettiin laadullista sisällönanalyysiä. Työn tuloksissa määriteltiin asiakasarvo ja tärkeimmät asiakastarpeet kiinteistöpalveluissa, kartoitettiin asiakkaiden odotusten ja nykytilan väliset kuilut sekä luotiin yritykselle palveluiden kehitysprosessimalli, jota yritys voi toiminnoissaan tapauskohtaisesti hyödyntää tulevaisuudessa.

Quality of outsourced IT services in different degrees of offshoring

The Finnish IT service market can be described to be at a turning point. The clients are ever more interested on services delivered from offshore but certain issues keep them cautious. There is a lack of knowledge on what implications different degrees of offshoring have on service quality. Although there has been significant amount of research related to both service quality and offshoring, several questions are unanswered, terminology remains ambivalent and research findings are inconsistent. The study focuses on the interception of these two fields. The purpose of the study is to learn more about service quality in different degrees of offshoring. At the same time it aims to contribute in narrowing the research gaps. The degree of offshoring can be divided to three delivery modes: onshore, collaboration and offshore. The study takes a mixed method approach where the quantitative and qualitative phases are executed sequentially. First data was gathered from incident management system. Resolution time in different degrees of offshoring was analyzed with Kruskal-Wallis and Jonckheere-Terpstra tests. In addition, the compliance to Service Level Agreement (SLA) in different degrees of offshoring was examined with cross tabulation. The findings from the quantitative analysis suggested that the services with offshore delivery mode perform the best in terms of promptness and SLA compliance. However, several issues were found related to the data and for that reason, the findings should be considered with prudence. After the quantitative analysis, the study moved on to qualitative data collection and analysis. Four semi-structured interviews were held. The interviewees represented different organizational roles and had experiences from different delivery modes. Several themes were covered in the interviews, including: the concept of quality, the subjectivity or objectivity of service quality, expectations and prejudices towards offshore deliveries, quality produced in India, proactiveness of offshore resources, quality indicators and the scarcity of collaborative deliveries. Several conclusions can be made from the empirical research. Firstly, the quality in different delivery modes was found to be controversial topic. Secondly, in the collaborative delivery covered in the study, the way tasks and resources are allocated seem to cause issues. On the other hand inexperienced offshore resources are assigned to the delivery and on the other hand only routine tasks are assigned to the resources. This creates a self-enforcing loop that results in low motivation, low ownership and high employee turnover in offshore. Nevertheless, this issue is not characteristic only to collaborative deliveries but rather allocation of tasks and resources. Moreover, prejudices were identified to affect the perceived service quality in non-predictable way. The research also demonstrated that there is a need in focal company for further data gathering and analysis.

Collectiveness within startup teams – Leading the way to initiating and managing collective pursuit of opportunities in organizational contexts

While traditional entrepreneurship literature addresses the pursuit of entrepreneurial opportunities to a solo entrepreneur, scholars increasingly agree that new ventures are often founded and operated by entrepreneurial teams as collective efforts especially in hightechnology industries. Researchers also suggest that team ventures are more likely to survive and succeed than ventures founded by the individual entrepreneur although specific challenges might relate to multiple individuals being involved in joint entrepreneurial action. In addition to new ventures, entrepreneurial teams are seen central for organizing work in established organizations since the teams are able to create major product and service innovations that drive organizational success. Acknowledgement of the entrepreneurial teams in various organizational contexts has challenged the notion on the individual entrepreneur. However, considering that entrepreneurial teams represent a collective-level phenomenon that bases on interactions between organizational members, entrepreneurial teams may not have been studied as indepth as could be expected from the point of view of the team-level, rather than the individual or the individuals in the team. Many entrepreneurial team studies adopt the individualized view of entrepreneurship and examine the team members’ aggregate characteristics or the role of a lead entrepreneur. The previous understandings might not offer a comprehensive and indepth enough understanding of collectiveness within entrepreneurial teams and team venture performance that often relates to the team-level issues in particular. In addition, as the collective-level of entrepreneurial teams has been approached in various ways in the existing literatures, the phenomenon has been difficult to understand in research and practice. Hence, there is a need to understand entrepreneurial teams at the collective-level through a systematic and comprehensive perspective. This study takes part in the discussions on entrepreneurial teams. The overall objective of this study is to offer a description and understanding of collectiveness within entrepreneurial teams beyond individual(s). The research questions of the study are: 1) what collectiveness within entrepreneurial teams stands for, what constitutes the basic elements of it, and who are included in it, 2) why, how, and when collectiveness emerges or reinforces within entrepreneurial teams, and 3) why collectiveness within entrepreneurial teams matters and how it could be developed or supported. In order to answer the above questions, this study bases on three approaches, two set of empirical data, two analysis techniques, and conceptual study. The first data set consists of 12 qualitative semi-structured interviews with business school students who are seen as prospective entrepreneurs. The data is approached through a social constructionist perspective and analyzed through discourse analysis. The second data set bases on a qualitative multiplecase study approach that aims at theory elaboration. The main data consists of 14 individual and four group semi-structured thematic interviews with members of core entrepreneurial teams of four team startups in high-technology industries. The secondary data includes publicly available documents. This data set is approached through a critical realist perspective and analyzed through systematic thematic analysis. The study is completed through a conceptual study that aims at building a theoretical model of collective-level entrepreneurship drawing from existing literatures on organizational theory and social-psychology. The theoretical work applies a positivist perspective. This study consists of two parts. The first part includes an overview that introduces the research background, knowledge gaps and objectives, research strategy, and key concepts. It also outlines the existing knowledge of entrepreneurial team literature, presents and justifies the choices of paradigms and methods, summarizes the publications, and synthesizes the findings through answering the above mentioned research questions. The second part consists of five publications that address independent research questions but all enable to answer the research questions set for this study as a whole. The findings of this study suggest a map of relevant concepts and their relationships that help grasp collectiveness within entrepreneurial teams. The analyses conducted in the publications suggest that collectiveness within entrepreneurial teams stands for cognitive and affective structures in-between team members including elements of collective entity, collective idea of business, collective effort, collective attitudes and motivations, and collective feelings. Collectiveness within entrepreneurial teams also stands for specific joint entrepreneurial action components in which the structures are constructed. The action components reflect equality and democracy, and open and direct communication in particular. Collectiveness emerges because it is a powerful tool for overcoming individualized barriers to entrepreneurship and due to collectively oriented desire for, collective value orientation to, demand for, and encouragement to team entrepreneurship. Collectiveness emerges and reinforces in processes of joint creation and realization of entrepreneurial opportunities including joint analysis and planning of the opportunities and strategies, decision-making and realization of the opportunities, and evaluation, feedback, and sanctions of entrepreneurial action. Collectiveness matters because it is relevant for potential future entrepreneurs and because it affects the ways collective ventures are initiated and managed. Collectiveness also matters because it is a versatile, dynamic, and malleable phenomenon and the ideas of it can be applied across organizational contexts that require team work in discovering or creating and realizing new opportunities. This study further discusses how the findings add to the existing knowledge of entrepreneurial team literature and how the ideas can be applied in educational, managerial, and policy contexts.

Use of airborne laser scanner data in demanding forest conditions

Most of the applications of airborne laser scanner data to forestry require that the point cloud be normalized, i.e., each point represents height from the ground instead of elevation. To normalize the point cloud, a digital terrain model (DTM), which is derived from the ground returns in the point cloud, is employed. Unfortunately, extracting accurate DTMs from airborne laser scanner data is a challenging task, especially in tropical forests where the canopy is normally very thick (partially closed), leading to a situation in which only a limited number of laser pulses reach the ground. Therefore, robust algorithms for extracting accurate DTMs in low-ground-point-densitysituations are needed in order to realize the full potential of airborne laser scanner data to forestry. The objective of this thesis is to develop algorithms for processing airborne laser scanner data in order to: (1) extract DTMs in demanding forest conditions (complex terrain and low number of ground points) for applications in forestry; (2) estimate canopy base height (CBH) for forest fire behavior modeling; and (3) assess the robustness of LiDAR-based high-resolution biomass estimation models against different field plot designs. Here, the aim is to find out if field plot data gathered by professional foresters can be combined with field plot data gathered by professionally trained community foresters and used in LiDAR-based high-resolution biomass estimation modeling without affecting prediction performance. The question of interest in this case is whether or not the local forest communities can achieve the level technical proficiency required for accurate forest monitoring. The algorithms for extracting DTMs from LiDAR point clouds presented in this thesis address the challenges of extracting DTMs in low-ground-point situations and in complex terrain while the algorithm for CBH estimation addresses the challenge of variations in the distribution of points in the LiDAR point cloud caused by things like variations in tree species and season of data acquisition. These algorithms are adaptive (with respect to point cloud characteristics) and exhibit a high degree of tolerance to variations in the density and distribution of points in the LiDAR point cloud. Results of comparison with existing DTM extraction algorithms showed that DTM extraction algorithms proposed in this thesis performed better with respect to accuracy of estimating tree heights from airborne laser scanner data. On the other hand, the proposed DTM extraction algorithms, being mostly based on trend surface interpolation, can not retain small artifacts in the terrain (e.g., bumps, small hills and depressions). Therefore, the DTMs generated by these algorithms are only suitable for forestry applications where the primary objective is to estimate tree heights from normalized airborne laser scanner data. On the other hand, the algorithm for estimating CBH proposed in this thesis is based on the idea of moving voxel in which gaps (openings in the canopy) which act as fuel breaks are located and their height is estimated. Test results showed a slight improvement in CBH estimation accuracy over existing CBH estimation methods which are based on height percentiles in the airborne laser scanner data. However, being based on the idea of moving voxel, this algorithm has one main advantage over existing CBH estimation methods in the context of forest fire modeling: it has great potential in providing information about vertical fuel continuity. This information can be used to create vertical fuel continuity maps which can provide more realistic information on the risk of crown fires compared to CBH.

Plantability and moisture content of naked and pelleted seeds of supersweet (Sh2) corn during cold storage conditions

The supersweet (Sh2) corn seeds have a thin tegument and an irregular shape, which hinder the sowing procedure. As a function of those factors, the significance of using the pelleting process to improve sowing and standardize the stand of plants in the field without the need of thinning within the row is emphasized. Although this technique has already been known for many years, little has been studied on the effect of such procedure on the plantability and on the moisture content of the supersweet corn seeds. Therefore, this research work aimed at evaluating the effects of pelleting on the moisture content of the seeds along the storing process, on the occurrence of gaps on seed deposition and on the dropping of double seeds, with the aid of a testing seeder. Other physical attributes of seeds and pellets were also evaluated through tests of fragmentation, screen retention, mass of a thousand seeds and apparent volume. Results have shown an increase on the mass and on the volume of the pelleted seeds that presented highly resistance to cracks and breaking. The pelleting was efficient on the reduction of gaps and on the deposition of double seeds at sowing, thus providing highly satisfactory results for these attributes. An increase on the seed moisture content was also observed as a function of storage with a significant reduction on this factor after the pelleting procedure. Results allow concluding that the pelleting process reduces seed moisture content and improves plantability, positively affecting the efficiency of the sowing process.

Indicadores socioambientais: evolução e perspectivas

Social-environmental indicators: evolution and perspectives. This article deals with the balance of sustainability indicators and/or sustainable development indicators. Major gaps and blocks - both conceptual and operational - still hinder the socio-environmental governance from avoiding "blind flights".

Involving employees in six sigma

Six sigma is a quality improvement philosophy with systematic and formal approach. In order to successfully implement and utilize six sigma the basic disciplines of it should be adopted by the entire organization. Furthermore, employee involvement is crucial in six sigma implementation. This thesis addresses the challenges of long-lasting involvement in the case company. It focuses on gaps of involving six sigma trained employees, Black Belts. Theoretical framework of the thesis illustrates different factors influencing employee involvement. Influencing factors can be divided into ten categories: organizational culture, managerial commitment, leadership style, employee empowerment, employees’ perceptions, communication, training, goals, performance measurement and incentives. Factors and categories overlap and are related to each other. The framework provides holistic view of employee involvement in six sigma context but can be used also with other quality management philosophies. This thesis was conducted as a case study and written on an assignment to a power and automation technology company. Due to the nature of research problem, the data collection was conducted by interviewing case company personnel. In order to study involvement from employees’ point of view interview questions were designed to be open-ended and to allow the interviewees to tell freely about the phenomenon. This thesis provides empirical support on previous studies in organizational support, management commitment and employee empowerment. In addition, it indicates the importance of separate function for Black Belts in the organization. The gaps in Black Belt involvement can be categorized under two categories: Management driven gaps are related to management commitment, organizational structure and culture and information systems. Black Belt driven gaps are related to practice and effort of using six sigma. This thesis finds solutions for bridging these gaps in the case company by applying findings from literature research and suggestions given by the interviewees. For each gap, actions are suggested for bridging the discrepancy between current and desired situations. The thesis states that in order to embed six sigma in the organization the most crucial gaps, lack of management commitment, six sigma vision and possibilities to use six sigma, should be diminished.

Para medir as desigualdades raciais no mercado de trabalho

Measuring racial inequalities in the labor market. How much racial inequality is there in Brazilian labor market? What has been the impact of the latest transformations in work relations on it? Can we compare the Brazilian situation to other countries? These questions don't have today an objective answer. This is due, mostly, to the absence of measures which could allow us to make long term and regional comparisons of different racial inequalities situations. Our proposal is to provide new indicators to evaluate racial inequalities in both the occupational and income structure in Brazil. Our results show that whites/non-whites gaps widened since the 1980s. They allow us to affirm, in addition, that racial inequalities are today worst in Brazil than in countries that adopted affirmative action laws to fight discrimination.

Involving employees in six sigma

Six sigma is a quality improvement philosophy with systematic and formal approach. In order to successfully implement and utilize six sigma the basic disciplines of it should be adopted by the entire organization. Furthermore, employee involvement is crucial in six sigma implementation. This thesis addresses the challenges of long-lasting involvement in the case company. It focuses on gaps of involving six sigma trained employees, Black Belts. Theoretical framework of the thesis illustrates different factors influencing employee involvement. Influencing factors can be divided into ten categories: organizational culture, managerial commitment, leadership style, employee empowerment, employees’ perceptions, communication, training, goals, performance measurement and incentives. Factors and categories overlap and are related to each other. The framework provides holistic view of employee involvement in six sigma context but can be used also with other quality management philosophies. This thesis was conducted as a case study and written on an assignment to a power and automation technology company. Due to the nature of research problem, the data collection was conducted by interviewing case company personnel. In order to study involvement from employees’ point of view interview questions were designed to be open-ended and to allow the interviewees to tell freely about the phenomenon. This thesis provides empirical support on previous studies in organizational support, management commitment and employee empowerment. In addition, it indicates the importance of separate function for Black Belts in the organization. The gaps in Black Belt involvement can be categorized under two categories: Management driven gaps are related to management commitment, organizational structure and culture and information systems. Black Belt driven gaps are related to practice and effort of using six sigma. This thesis finds solutions for bridging these gaps in the case company by applying findings from literature research and suggestions given by the interviewees. For each gap, actions are suggested for bridging the discrepancy between current and desired situations. The thesis states that in order to embed six sigma in the organization the most crucial gaps, lack of management commitment, six sigma vision and possibilities to use six sigma, should be diminished.

Framework for Marketing Automation: Case Vaisala

Työ käsittelee Markkinoinnin Automaatiota, viitekehyksen rakentamista Markkinoinnin Automaation käyttöönottoon ja sen hyödyntämiselle markkinoinnin ja myynnin putken hallinnassa. Työ on suoritettu tapaustutkimuksena, jonka primääri datana on käytetty puoli-strukturoituja haastatteluja ja sekundääri datana on käytetty dataa myynnin tietojärjestelmistä. Kirjallisuuskatsaus markkinoinnin automaatioon paljastaa, että aihetta ei ole juurikaan tutkittu akateemisesti. Etenkin selkeitä aukkoja teorioissa on miten markkinoinnin automaatiota kannattaisi aloittaa ja miten siihen tarvittavia kamppanjoita kannattaisi rakentaa. Tapaustutkimuksen tuloksena selvisi selkeät ongelma kohdat nykysessä markkinoinnin ja myynnin putkessa, ja myös kohdat joissa markkinoinnin automaatio voi olla avuksi. Suurin osa ongelma kohdista on markkinoinnin ja myynnin välissä. Toimiakseen markkinoinnin automaatio vaatii selkeät määritykset yrityksessä Liidille ja miten sitä käsitellään. Toimivuuden takaamiseksi se tarvitsee myös jatkuvaa palautetta liideistä ja myynneistä. Alue mikä myös tarvitsee muutosta paremman toimivuuden takaamiseksi on markkinoinnin kamppanjoiden suunnittelu, yhdessä myynnin kanssa ja asiakkaan polku edellä. Tulevaisuuden tavoitteena tulisi olla viestien personointi ja asiakkaiden profilointi. Tulevaisuuden tutkimuskohteet olisivat erittäin avuliaita yrityksille, varsinki jos ne käsittelisivät käyttöönottoa tai personointia.

University students’ regulation of learning and text processing – examples from medical and teacher education

The general aim of the thesis was to study university students’ learning from the perspective of regulation of learning and text processing. The data were collected from the two academic disciplines of medical and teacher education, which share the features of highly scheduled study, a multidisciplinary character, a complex relationship between theory and practice and a professional nature. Contemporary information society poses new challenges for learning, as it is not possible to learn all the information needed in a profession during a study programme. Therefore, it is increasingly important to learn how to think and learn independently, how to recognise gaps in and update one’s knowledge and how to deal with the huge amount of constantly changing information. In other words, it is critical to regulate one’s learning and to process text effectively. The thesis comprises five sub-studies that employed cross-sectional, longitudinal and experimental designs and multiple methods, from surveys to eye tracking. Study I examined the connections between students’ study orientations and the ways they regulate their learning. In total, 410 second-, fourth- and sixth-year medical students from two Finnish medical schools participated in the study by completing a questionnaire measuring both general study orientations and regulation strategies. The students were generally deeply oriented towards their studies. However, they regulated their studying externally. Several interesting and theoretically reasonable connections between the variables were found. For instance, self-regulation was positively correlated with deep orientation and achievement orientation and was negatively correlated with non-commitment. However, external regulation was likewise positively correlated with deep orientation and achievement orientation but also with surface orientation and systematic orientation. It is argued that external regulation might function as an effective coping strategy in the cognitively loaded medical curriculum. Study II focused on medical students’ regulation of learning and their conceptions of the learning environment in an innovative medical course where traditional lectures were combined wth problem-based learning (PBL) group work. First-year medical and dental students (N = 153) completed a questionnaire assessing their regulation strategies of learning and views about the PBL group work. The results indicated that external regulation and self-regulation of the learning content were the most typical regulation strategies among the participants. In line with previous studies, self-regulation wasconnected with study success. Strictly organised PBL sessions were not considered as useful as lectures, although the students’ views of the teacher/tutor and the group were mainly positive. Therefore, developers of teaching methods are challenged to think of new solutions that facilitate reflection of one’s learning and that improve the development of self-regulation. In Study III, a person-centred approach to studying regulation strategies was employed, in contrast to the traditional variable-centred approach used in Study I and Study II. The aim of Study III was to identify different regulation strategy profiles among medical students (N = 162) across time and to examine to what extent these profiles predict study success in preclinical studies. Four regulation strategy profiles were identified, and connections with study success were found. Students with the lowest self-regulation and with an increasing lack of regulation performed worse than the other groups. As the person-centred approach enables us to individualise students with diverse regulation patterns, it could be used in supporting student learning and in facilitating the early diagnosis of learning difficulties. In Study IV, 91 student teachers participated in a pre-test/post-test design where they answered open-ended questions about a complex science concept both before and after reading either a traditional, expository science text or a refutational text that prompted the reader to change his/her beliefs according to scientific beliefs about the phenomenon. The student teachers completed a questionnaire concerning their regulation and processing strategies. The results showed that the students’ understanding improved after text reading intervention and that refutational text promoted understanding better than the traditional text. Additionally, regulation and processing strategies were found to be connected with understanding the science phenomenon. A weak trend showed that weaker learners would benefit more from the refutational text. It seems that learners with effective learning strategies are able to pick out the relevant content regardless of the text type, whereas weaker learners might benefit from refutational parts that contrast the most typical misconceptions with scientific views. The purpose of Study V was to use eye tracking to determine how third-year medical studets (n = 39) and internal medicine residents (n = 13) read and solve patient case texts. The results revealed differences between medical students and residents in processing patient case texts; compared to the students, the residents were more accurate in their diagnoses and processed the texts significantly faster and with a lower number of fixations. Different reading patterns were also found. The observed differences between medical students and residents in processing patient case texts could be used in medical education to model expert reasoning and to teach how a good medical text should be constructed. The main findings of the thesis indicate that even among very selected student populations, such as high-achieving medical students or student teachers, there seems to be a lot of variation in regulation strategies of learning and text processing. As these learning strategies are related to successful studying, students enter educational programmes with rather different chances of managing and achieving success. Further, the ways of engaging in learning seldom centre on a single strategy or approach; rather, students seem to combine several strategies to a certain degree. Sometimes, it can be a matter of perspective of which way of learning can be considered best; therefore, the reality of studying in higher education is often more complicated than the simplistic view of self-regulation as a good quality and external regulation as a harmful quality. The beginning of university studies may be stressful for many, as the gap between high school and university studies is huge and those strategies that were adequate during high school might not work as well in higher education. Therefore, it is important to map students’ learning strategies and to encourage them to engage in using high-quality learning strategies from the beginning. Instead of separate courses on learning skills, the integration of these skills into course contents should be considered. Furthermore, learning complex scientific phenomena could be facilitated by paying attention to high-quality learning materials and texts and other support from the learning environment also in the university. Eye tracking seems to have great potential in evaluating performance and growing diagnostic expertise in text processing, although more research using texts as stimulus is needed. Both medical and teacher education programmes and the professions themselves are challenging in terms of their multidisciplinary nature and increasing amounts of information and therefore require good lifelong learning skills during the study period and later in work life.

Rethinking "energy nationalism": a study of the relationship between nation states and companies in the oil industry

ABSTRACTThe term "energy nationalism" is frequently used by academic literature and media, but usually without adequate conceptual accuracy. Despite this, a set of papers deepens the discussion on the relationship between nation states and the energy industry, especially the oil sector. These papers allow identifying fundamental elements to understand the energy nationalism, either complementary or divergent between each other. Thus, this study aims at presenting an interpretation of the concept that fills the gaps left by the above mentioned literature based on a global analysis of the oil industry structure and its historical evolution since the mid-19thcentury.

Information management in aircraft maintenance

Well managed information promotes competitive advantage and economic value for the company. The challenge is to use information effectively in complex networks. Decision making in network is complicated due to many independent sources of information. The aim of the present study was to identify and map the internal information flows and used information resourced by functions and roles, to make proposals to the case organization to improve the information management and to improve the situational awareness and process flows. In the present study, an inductive approach was applied, with the aim to find out gaps and bottlenecks of information flow of an aircraft maintenance organization and its network. The empirical part was conducted with observing the processes and with questionnaires. Theoretical part of this study consists on reviewing relevant literature on maintenance management in aviation and information management in aviation. Together with empirical evidence and the literature used in the study the gaps were found and suggestions for improvements were done. The outcome of this study contributes the organization in its bigger goal to improve the productivity. The information management of the network is one actor in the field and will pave the way to smoother operation and situational awareness. The lack of rules and requirements for information management and spreading is a challenge in information management. The excessive data overburden may cause problem in the actors’ situation-awareness due to non-availability of the right information.